Results 131 to 140 of about 6,210 (184)

Deepfake Detection Using the Rate of Change between Frames Based on Computer Vision. [PDF]

Sensors (Basel), 2021
Lee G, Kim M.
europepmc   +1 more source

A New Deep Learning-Based Methodology for Video Deepfake Detection Using XGBoost. [PDF]

Sensors (Basel), 2021
Ismail A, Elpeltagy M, S Zaki M, Eldahshan K.   +3 more
europepmc   +1 more source

Generalized Source Tracing: Detecting Novel Audio Deepfake Algorithm with Real Emphasis and Fake Dispersion Strategy

With the proliferation of deepfake audio, there is an urgent need to investigate their attribution. Current source tracing methods can effectively distinguish in-distribution (ID) categories.
Cheng, Haonnan, Fu, Ruibo, Tao, Jianhua, Wang, Xiaopeng, Wang, Zhiyong, Wen, Zhengqi, Xie, Yuankun, Ye, Long   +7 more
core  

Multiple contexts and frequencies aggregation network for deepfake detection. [PDF]

PLoS One
Li Z, Tang W, Gao S, Wang Y, Wang S.
europepmc   +1 more source

Enhancing tumor deepfake detection in MRI scans using adversarial feature fusion ensembles. [PDF]

Sci Rep
Ali A, Basha HA, Thanuja K, Puneet, Gupta SK, Kim S.   +5 more
europepmc   +1 more source

PolyGlotFake: A Novel Multilingual and Multimodal DeepFake Dataset

With the rapid advancement of generative AI, multimodal deepfakes, which manipulate both audio and visual modalities, have drawn increasing public concern.
Chen, Chuankai, Fu, Haitao, Hou, Yang, Li, Zida, Zhang, Haoyu, Zhao, Jianjun   +5 more
core  

Audio Deepfake Detection via a Fuzzy Dual-Path Time-Frequency Attention Network. [PDF]

Sensors (Basel)
Li J, Wang H, Xie F, Feng X, Chen J, Liu J, Wang J.   +6 more
europepmc   +1 more source

The Codecfake Dataset and Countermeasures for the Universally Detection of Deepfake Audio

With the proliferation of Audio Language Model (ALM) based deepfake audio, there is an urgent need for generalized detection methods. ALM-based deepfake audio currently exhibits widespread, high deception, and type versatility, posing a significant ...
Cheng, Haonan, Fu, Ruibo, Liu, Yukun, Lu, Yi, Qi, Xin, Sun, Yi, Tao, Jianhua, Wang, Xiaopeng, Wang, Zhiyong, Wen, Zhengqi, Xie, Yuankun, Ye, Long   +11 more
core  

Unmasking digital deceptions: An integrative review of deepfake detection, multimedia forensics, and cybersecurity challenges. [PDF]

MethodsX
Singh S, Dhumane A.
europepmc   +1 more source

GFADE: generalized feature adaptation and discrimination enhancement for deepfake detection. [PDF]

PeerJ Comput Sci
Tian Z, Yi J.
europepmc   +1 more source